AI and ML Internship Program

Master the future with our AI and ML Internship Program – From Python to Generative AI. This hands-on program covers Python, Machine Learning, Deep Learning, Computer Vision, and Generative AI. Gain real-world experience through 10 projects, 10 quizzes, etc. Learn to build, train, and deploy AI models using TensorFlow, OpenCV, LangChain, and no-code tools while automating workflows and creating deployable AI-powered applications.

Course Detail:

Master 20+ Tools | Get Industry Certification | 100% Practical Training | 25+ Hours Duration | 10 Industry-Ready Project | 10 Quizzes | Interview Preparation | Placement Support

💰 Program Fee: ₹24,999 | Enroll Now!

What You'll Learn

Python for AI

Build a strong foundation in Python for coding, automation, and AI development.

Data Analysis & Visualization

Master data cleaning, transformation, and visualization using Pandas, NumPy, and Matplotlib.

Machine Learning Algorithms

Learn Regression, Classification, and Clustering to build predictive models.

Deep Learning & Neural Networks

Explore ANN and CNN models to train image and data-driven applications.

Computer Vision & NLP

Use OpenCV for image detection and NLP for sentiment analysis and text understanding.

Generative & RAG AI

Create AI tools using OpenAI, Hugging Face, and LangChain for text generation and chatbot systems.

No-Code AI Development

Quickly prototype and deploy AI apps using Google AutoML, Teachable Machine, and other no-code tools.

Why Enroll in Our AI Internship Program?

🎯 100% Practical Training

Gain practical experience through real-time tools, exercises, and industry-relevant tasks.

❓ Doubt Clearing Sessions

Get support from experts through interactive sessions and real-time doubt resolution.

🛠️ Hands-on Projects & Assignments

Work on structured assignments and projects to apply concepts in real-world scenarios.

🏆 Certification on Completion

Receive a certificate upon internship completion to validate your skills and knowledge.

💼 Career & Resume Support

Access resources and guidance to build your resume, explore freelancing, and grow your career.

💲 Affordable Pricing

Learn in-demand skills at a cost-effective price with good value for money.

⏰ Flexible Timing

Choose from multiple learning formats and schedules to fit your availability.

🛠️ Tools You'll Master

Programming & Development

Python 3.11+ Google Colab Jupyter Notebook VS Codes

Data Handling & Visualization

NumPy Pandas Matplotlib Seaborn Plotly

Machine Learning & Deep Learning

Scikit-learn XGBoost LightGBM TensorFlowKeras

Computer Vision & NLP

OpenCV EasyOCR NLTKspaCyTF-IDFWord2Vec

Generative & Agentic AI

OpenAI API Hugging Face TransformersLangChainFAISSPineconeLangGraphCrewAIAutoGen

No-Code & Automation Tools

Google AutoML Teachable MachineGlideBubbleSoftrZapierMake.comN8nTaskade AI Agents

Deployment & Collaboration

Streamlit Gradio FlaskGitGitHub

📜 Internship Curriculum Overview

Our AI and ML internship Program offers a complete, hands-on learning path across 13 detailed modules, starting from Python fundamentals to advanced Agentic AI systems. The program includes 10 mini projects and 10 quizzes, helping learners apply every concept practically. You’ll master data preprocessing, machine learning, deep learning, computer vision, generative AI, RAG, and no-code automation tools. Additionally, the internship ensuring you graduate with strong, industry-ready AI skills.

🏆 Industry-Recognized Certifications

 Industry Recognized Certificate
Faq:
What is meant by AI?
Artificial Intelligence (AI) is the simulation of human intelligence by machines, enabling them to think, learn, reason, and make decisions like humans through data-driven algorithms and automation.
What are the prerequisites to enroll in this Artificial Intelligence Internship?
There are no prerequisites for this Artificial Intelligence Internship. Anyone with interest in AI can enroll and learn everything from Python basics to advanced AI concepts step by step.
What are the benefits of this AI & ML Internship Program in Skillbotix?
The Skillbotix AI & ML Internship Program offers hands-on learning, real-world projects, 10+ Projects, quizzes, and career guidance. Gain in-demand AI skills, and industry-recognized certification for better career growth.
What skills will I learn in this AI Internship?
You’ll learn Python programming, data analysis, machine learning, deep learning, computer vision, generative AI, RAG, no-code automation for real-world AI applications.
What types of jobs can I apply for after completing this AI Internship?
After completing this AI Internship, you can apply for roles like AI Engineer, Machine Learning Engineer, Data Scientist, NLP Engineer, Computer Vision Developer, AI Research Assistant, and Automation Specialist.
Will I get to work on live projects and assignments?
Yes, the Internship includes multiple assignments and real-world projects designed to give you practical experience.
What kind of certification will I receive after completing the Internship?
After completing the Internship, you will receive an industry-recognized certification.
Who are the trainers and what are their qualifications?
Our trainers are experienced AI professionals with proven industry backgrounds and a passion for teaching.
Will there be live doubt-clearing sessions during the Internship?
Yes, live sessions are scheduled regularly for resolving doubts and ensuring a clear understanding of all concepts.
What kind of support is provided if I get stuck during the Internship?
24/7 learner support is available through email, and a dedicated helpdesk to assist you anytime.
Will I get a refund for this Internship?
As our Internship provide immediate access to valuable content and resources, we do not offer refunds. We encourage you to explore the Internship curriculum, sample content, and connect with our team before enrolling — we're here to help you make the right choice for your learning journey!
Modules:
Module 1: Python for AI Foundations
  • Python syntax, loops, functions, and conditionals
  • Lists, dictionaries, tuples, and sets
  • File handling & simple automation scripts
  • Introduction to NumPy and Pandas
Module 2: Data Analysis + Supervised Learning
  • Exploratory Data Analysis (EDA): missing values, outliers, correlations
  • Feature encoding and normalization
  • Supervised ML: Logistic Regression, Decision Tree
  • Model evaluation: confusion matrix, ROC, accuracy
Module 3: EDA + Unsupervised Learning (Customer Risk Segmentation)
  • K-Means & DBSCAN clustering
  • PCA visualization
  • Feature scaling & cluster interpretation
Module 4: Deep Learning for Images
  • ANN vs CNN
  • Convolution, pooling, and dense layers
  • Image preprocessing and augmentation
  • Model evaluation and saving
Module 5: Computer Vision + OpenCV
  • Image filtering, contour detection
  • Haar Cascades and edge detection
  • Optical Character Recognition (OCR)
Module 6: NLP Fundamentals
  • Tokenization, stopword removal
  • TF-IDF, Bag of Words
  • Logistic Regression & Naive Bayes for NLP
Module 7: Generative AI Fundamentals
  • Generative AI vs Traditional AI
  • Prompt engineering
  • Using OpenAI/Hugging Face APIs
Module 8: Retrieval-Augmented Generation (RAG)
  • RAG pipelines (retriever + generator)
  • Vector databases (FAISS/Pinecone)
  • LangChain basics
Module 9: Agentic AI
  • What are AI agents?
  • LLM + tool use + memory
  • Task orchestration
Module 10: No-Code Tools for AI Coding
  • No-code ML platforms
  • Training and deploying without code
  • Connecting data sources
Module 11: No-Code Tools for App Development
  • No-code app builders for AI
  • API integration
  • Frontend design for AI dashboards
Module 12: No-Code Tools for AI Agent Automation
  • Workflow orchestration
  • Integrating LLMs with automation
  • Building business bots
Module 13: Bonus Lecture
  • Complete Interview Preparation
  • AWS AI/ML Certification Guidance
  • AWS SageMaker & Bedrock
  • Vibe Coding & Automation Tools for SaaS Projects